A fast retrieval method of drug information based on multidimensional data analysis

Abstract

The medical industry is constantly improving its own structure with the development of society. However, most of the current drug management systems cannot meet the needs of actual drug management. There are many problems such as incomplete system functions, confusion of drug management, unclear division of modules, loss and waste of human resources. At present, there is an urgent need for a new and perfect hospital drug information management system to meet the drug needs of the hospital. Drug management is an indispensable part of the hospital management system. In this context, this paper completes the design of the target drug rapid retrieval system, which is realized through multi-dimensional data analysis technology, and tests the multi-dimensional data analysis algorithm model used in the system. It can be seen that as the number of wrong words in drug names increases, the accuracy of fuzzy matching also decreases. Compared with the traditional algorithm, the improved multi-dimensional data analysis algorithm greatly improves the accuracy. The system can be roughly divided into three layers: application layer, data layer and business logic layer. The design and improvement of the system can effectively improve the drug processing efficiency of existing pharmacies through the design and simulation experiments, enable the pharmacy department to better cooperate with other departments to work, make the cooperation between different departments more effective, and solve the work efficiency problems of the hospital. By introducing multidimensional data analysis technology into the field of drug information retrieval, this paper designs an effective and fast retrieval method.